How We Work
You’ll be part of a dedicated, cross-functional team (Product, Design, Engineering) that is:
Empowered to solve problems, not just build features
Accountable for outcomes, not output
Collaborative by default, from discovery through delivery
Continuously learning, using data and customer insight to improve
Key Responsibilities
Manage and coach a group of full stack, front end, and back-end engineers through technical leadership and professional development
Play a key role in building out your Software Engineering Team;
Bring a strong technical perspective to help the team identify what is feasible, what is valuable, and what is worth building
Challenge assumptions and propose alternative solutions that are simpler, faster, or more impactful
Partner with Product Management and Design to frame problems, define outcomes, and translate strategy into an executable roadmap
Align cross-team dependencies and coordinate delivery across multiple services and applications
Communicate status, risks, and tradeoffs clearly to stakeholders; make decisions that optimize for customer and business impact
Make pragmatic tradeoffs between speed, scalability, maintainability, and cost
Ensure alignment with broader platform and enterprise architecture where appropriate
Guide architecture and technical direction across front end, back end, and platform capabilities; ensure solutions are scalable, secure, and maintainable
Partner with Data Engineering and Data Analytics to enable reliable data products, feature pipelines, and ML-powered experiences where they create measurable value
Establish engineering standards for APIs, UI architecture, data contracts, and eventing; ensure alignment with enterprise and platform architecture
Own technical risk management (security, privacy, resiliency, cost); surface tradeoffs and investment needs early
Ensure strong engineering practices, including testing, observability, and CI/CD
Maintain a high bar for code quality and system design through reviews and hands-on contribution
Drive continuous improvement of the product through iteration, feedback, and learning
Establish reliability targets (SLOs/SLAs where applicable) and drive continuous improvement in performance, availability, and cost efficiency
Balance short-term delivery with long-term product and technical health, including planned reduction of technical debt
Ensure the team is focused on delivering meaningful impact, not just completing work
Create clarity on ownership boundaries, decision rights, and interfaces between teams to enable autonomy with alignment
Contribute to a Strong Engineering Culture
People leadership: Proven experience managing and growing software engineers across levels and specialties in collaboration with Product, Design and Data leadership
Full stack fluency: Comfort guiding modern front end and back-end architectures, APIs, and integration patterns
Product operating model mindset: Outcome-oriented, customer-centered, and skilled at partnering with Product and Design
Data & ML experience: Experience delivering data engineering and machine-learning-enabled solutions in production
Technical judgment: Makes smart tradeoffs, avoids over-engineering, and manages risk proactively
Product mindset: Cares about users, outcomes, and why things are built
Technical judgment: Makes smart tradeoffs, avoids over-engineering
Ownership & leadership: Takes initiative and influences decisions
Collaboration: Works effectively with product managers and designers
Qualifications
10+ years of software engineering experience, including building and shipping production-grade applications
3+ years of people management experience leading software engineers (ideally across full stack, front end, and back end)
Experience setting technical direction across services, web/mobile UIs, and cloud platforms; comfortable reviewing architecture and design
Experience partnering with Product and Design in a product operating model (continuous discovery and delivery; outcome-based roadmaps)
Working knowledge of data engineering and ML delivery patterns (pipelines, feature stores/serving, model lifecycle, monitoring)
Experience building and shipping production-grade applications
Proficiency in modern programming languages and frameworks (frontend and backend)
Experience working with APIs, distributed systems, and cloud environments
Experience leading multiple teams or a larger engineering group with shared services and cross-team dependencies
Experience building internal platforms or reusable components that accelerate delivery across product teams
Experience with modern cloud and data stacks (e.g., container platforms, event streaming, data warehouses/lakehouses)
Experience operationalizing ML (MLOps, model monitoring, responsible AI practices, experimentation)
Strong stakeholder management skills across technology, product, and business partners
Experience contributing to product discovery or solution design, not just delivery
Track record of technical leadership within a team (formal or informal)
Experience building customer-facing products
Familiarity with modern engineering practices (CI/CD, testing, observability)
Education
Bachelor’s degree in Computer Science, Engineering, or a related field
Equivalent practical experience is equally valued
Who Thrives Here
Engineers who
Are curious about customers and how products create value
Enjoy collaborating and debating ideas across disciplines
Take pride in both what they build and why it matters
Who This Role Is Not For
This role may not be the right fit if you
Prefer working from detailed requirements with limited ambiguity
Want to focus primarily on coding without engaging in product decisions
Are most comfortable in highly structured, delivery-driven environments
The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
Skills
Pay Range
United States: 202,000 - 229,000 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage
30
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location(s)
United States of America
City/Cities
Atlanta
Travel Required
00% - 25%
Relocation Provided
No
Job Posting End Date
October 14, 2026
Our Purpose and Growth Culture
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.
